Filters








5,817 Hits in 7.0 sec

Leveraging Expert Domain Knowledge to Learn a Representation of Symbolic Music

Johanna Devaney
2017 Digital Humanities Conference  
are learned from the data, and a hybrid datadriven/rule-driven approach, where domain knowledge "rules" are used to design feature and potential functions.  ...  The inclusion of the expert domain knowledge expressed in the phrase function model helps to resolve the ambiguity between the musical surface and appropriate chord labels in the harmonic analysis, namely  ... 
dblp:conf/dihu/Devaney17a fatcat:hn4tjody7fdxndm6sirbsjkgie

PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, Tat-Seng Chua
2020 Proceedings of the 28th ACM International Conference on Multimedia  
Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today.  ...  Results indicate a significant advancement of the neural approach towards symbolic music as well as PiRhDy's potential as a pretrained tool for a broad range of symbolic music applications.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.  ... 
doi:10.1145/3394171.3414032 dblp:conf/mm/LiangLCYSC20 fatcat:dnkq2hojfrcytih4smyuhtfemu

Representations, Affordances, and Interactive Systems

Robert Rowe
2021 Multimodal Technologies and Interaction  
and controls to a creator that determine how a system can be used and, thus, what it can mean.  ...  The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/mti5050023 doaj:0a1214c5e331476a9b3d8edd174722b6 fatcat:ottuk4zrffg6bgyolgy4356zo4

Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval

Helene-Camille Crayencour, Carmine-Emanuele Cella
2019 Frontiers in Digital Humanities  
Traditional approaches have generally treated these two aspects separately, probability and learning being the usual way to represent uncertainty in knowledge, while logical representation being the usual  ...  Dealing with music data requires the ability to tackle both uncertainty and complex relational structure at multiple levels of representation.  ...  ) . • Using expert knowledge to leverage lack of training data: In some situations we have little or no training data, but instead we have access to the subjective probabilities of a domain expert.  ... 
doi:10.3389/fdigh.2019.00006 fatcat:nsphz2frebgy5bhcybvpfcyfey

Using the Gamera framework for the recognition of cultural heritage materials

Michael Droettboom, Ichiro Fujinaga, Karl MacMillan, G. Sayeed Chouhury, Tim DiLauro, Mark Patton, Teal Anderson
2002 Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries - JCDL '02  
This paper presents a new toolkit for the creation of customized structured document recognition applications by domain experts.  ...  This open-source system, called Gamera, allows a user, with particular knowledge of the documents to be recognized, to combine image processing and recognition tools in an easy-to-use, interactive, graphical  ...  by domain experts.  ... 
doi:10.1145/544220.544223 dblp:conf/jcdl/DroettboomFMCDPA02 fatcat:626wnrgv4ncdtoikv623z7jike

Using the Gamera framework for the recognition of cultural heritage materials

Michael Droettboom, Ichiro Fujinaga, Karl MacMillan, G. Sayeed Chouhury, Tim DiLauro, Mark Patton, Teal Anderson
2002 Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries - JCDL '02  
This paper presents a new toolkit for the creation of customized structured document recognition applications by domain experts.  ...  This open-source system, called Gamera, allows a user, with particular knowledge of the documents to be recognized, to combine image processing and recognition tools in an easy-to-use, interactive, graphical  ...  by domain experts.  ... 
doi:10.1145/544221.544223 fatcat:msd4dgcvuffmllo5o75sfplvce

CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN [article]

Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri
2021 arXiv   pre-print
In the symbolic domain, the key problem of automatically arranging a piece music was extensively studied, while relatively fewer systems tackled this challenge in the audio domain.  ...  The two main research threads in computer-based music generation are: the construction of autonomous music-making systems, and the design of computer-based environments to assist musicians.  ...  A comprehensive review of the most relevant deep learning techniques applied to music is provided by [1] . Unlike most techniques that rely on a symbolic representation of music (i.e.  ... 
arXiv:2104.00353v2 fatcat:fpssvl34tvhodguv4vlzijezwm

Neural Approaches to Conversational AI

Jianfeng Gao, Michel Galley, Lihong Li
2018 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18  
, … • Intent (dialogue act): Attractive for dialog systems because: • Avoids hand-crafting intermediate representations like intent and dialog state • Examples are easy for a domain expert to express Do  ...  3 Slot Value # people 5 (0.5) time 5 (0.5) Slot Value # people 3 (0.8) time 5 (0.8) Multi-Domain Dialogue State Tracking (DST) • A full representation of the system's belief of the  ...  Conversation Learner -building a bot interactively What is it: A system built on the principles of Machine Teaching, that enables individuals with no AI experience (designers, business owners) to build  ... 
doi:10.1145/3209978.3210183 dblp:conf/sigir/GaoG018 fatcat:pnhrb5jgdfgnxac3hxy52a65pm

Automatic Stylistic Composition Of Bach Chorales With Deep Lstm

Feynman T. Liang, Mark Gotham, Matthew Johnson 0003, Jamie Shotton
2017 Zenodo  
While these prior results are strong, both of these systems relied upon a large amount of expert domain knowledge encoded into the models.  ...  We limit the symbolic representation to pitch and rhythm. This is consistent with previous work [4, 33] and the practice of music theoretic pedagogy.  ... 
doi:10.5281/zenodo.1416208 fatcat:xuaez5ufezhxrpx327jfycm5ka

Workshops Held at the Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE): A Report

Antonios Liapis, Michael Cook, Adam M. Smith, Gillian Smith, Alexander Zook, Mei Si, Marc Cavazza, Philippe Pasquier
2014 The AI Magazine  
Workshops were held on the two days prior to the start of the main conference, giving attendees a chance to hold in-depth discussions on topics that complement the themes of the main conference program  ...  This year the workshops included the First Workshop on AI and Game Aesthetics (1 day), The Second Workshop on AI in the Game Design Process (1 day), The Second International Workshop on Musical Metacreation  ...  How can retrieval, inference, knowledge representation, learning, and search loosen bottlenecks during design?  ... 
doi:10.1609/aimag.v35i2.2536 fatcat:7e2ued6kdbbsxaistqlsjatfg4

Learning Interpretable Musical Compositional Rules and Traces [article]

Haizi Yu, Lav R. Varshney, Guy E. Garnett, Ranjitha Kumar
2016 arXiv   pre-print
It presents MUS-ROVER, a self-learning system for automatically discovering rules from symbolic music.  ...  Throughout music history, theorists have identified and documented interpretable rules that capture the decisions of composers. This paper asks, "Can a machine behave like a music theorist?"  ...  Acknowledgements We thank Professor Heinrich Taube, President of Illiac Software, Inc., for providing Harmonia's MusicXML corpus of Bach's chorales. 1  ... 
arXiv:1606.05572v1 fatcat:ftt2ky7hfrdkxnzzmllechm5ne

Augmenting Digital Sheet Music through Visual Analytics

Matthias Miller, Daniel Fürst, Hanna Hauptmann, Daniel A. Keim, Mennatallah El‐Assady
2022 Computer graphics forum (Print)  
Existing approaches use abstract data-driven visualizations to assist music analysis but lack a suitable connection to the CMN.  ...  Music analysis tasks, such as structure identification and modulation detection, are tedious when performed manually due to the complexity of the common music notation (CMN).  ...  than domain experts.  ... 
doi:10.1111/cgf.14436 fatcat:6effqyt5gnhovf2a3bzmty46q4

Reports on the 2012 AIIDE Workshops

Oliver Bown, Arne Eigenfeldt, Rania Hodhod, Philippe Pasquier, Reid Swanson, Stephen G. Ware, Jichen Zhu
2012 The AI Magazine  
This report contains summaries of the activities of those four workshops.  ...  to musical compositions or interpretations versus systems that generate from first principles, computational heuristics, and expert knowledge, (3) individual versus collective musical creativity, and  ...  The ability to leverage the knowledge and skills of individuals in these online communities is radically changing the way we think of computation, artificial intelligence, and how research is conducted  ... 
doi:10.1609/aimag.v34i1.2459 fatcat:cd6j2yhmovcsjpxm4qrrc6jdue

This Is Who I Am and This Is What I Do: Demystifying the Process of Designing Culturally Authentic Technology [chapter]

Wanda Eugene, Leshell Hatley, Kyla McMullen, Quincy Brown, Yolanda Rankin, Sheena Lewis
2009 Lecture Notes in Computer Science  
integrating culture into the design of educational technology promotes learning and a more authentic user experience.  ...  This framework establishes principles that promote a holistic approach to design.  ...  the organization of knowledge in a particular domain, for problem solving [25] .  ... 
doi:10.1007/978-3-642-02767-3_3 fatcat:gvcskbm74fdo7luu7pqkonaddi

Assessment of Student Music Performances Using Deep Neural Networks

Kumar Pati, Siddharth Gururani, Alexander Lerch
2018 Applied Sciences  
Music performance assessment is a highly subjective task often relying on experts to gauge both the technical and aesthetic aspects of the performance from the audio signal.  ...  The results demonstrate the potential of using supervised feature learning techniques to better characterize music performances.  ...  Acknowledgments: The authors would like to thank the Florida Bandmasters Association for providing the dataset used in this study.  ... 
doi:10.3390/app8040507 fatcat:yxmavbdppjf7te24zqvyys7mla
« Previous Showing results 1 — 15 out of 5,817 results